Analysis Improtant Factors Influencing Driver Decision-Making Based on the Principal Component Method

Jia Yang Li; Qin Xue; Jia Xing Tong

doi:10.4028/www.scientific.net/AMR.988.683

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 988Analysis Improtant Factors Influencing Driver...

Analysis Improtant Factors Influencing Driver Decision-Making Based on the Principal Component Method

Abstract:

In Intelligent Transportation microscopic study, driver's physical and psychological factors play an important role for driving decisions . Considered by static factors and dynamic factors, this paper establishes 22 the driver's car-following decision factors in hierarchy.We use principal component analysis gain that nine indicators play a crucial role in driving the decision-making.Conclusion in this article provides theoretical support for the establishment of the next drive decision-making model .

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Periodical:

Advanced Materials Research (Volume 988)

Pages:

683-686

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.988.683

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Online since:

July 2014

Authors:

Jia Yang Li, Qin Xue, Jia Xing Tong

Keywords:

Car-Following Decision Factors, Driver Decision-Making, Intelligent Transportation, Principal Component Analysis (PCA)

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